About the role#
This 10-week summer internship program immerses students in enterprise-scale data engineering, platform development, and modern software engineering practices. You will work on production-aligned initiatives, build data products, and support the technology foundations that power business processes across the firm. The program combines hands-on technical execution with mentorship and networking opportunities alongside senior technology leaders.
What you'll do#
- Design, develop, test, and maintain scalable data pipelines, integration frameworks, and data products.
- Build and enhance reusable APIs, services, and data solutions to enable efficient data consumption.
- Apply software engineering fundamentals including testing, code reviews, version control, automation, CI/CD, and observability.
- Develop solutions to ingest, transform, validate, and distribute large volumes of structured and unstructured data.
- Partner with software engineers, architects, and product teams to deliver secure and reliable technology solutions.
- Support platform modernization efforts through engineering best practices and automation.
- Contribute to cloud-based and distributed computing platforms.
- Leverage enterprise-approved generative AI tools for code development, refactoring, and automated testing.
- Apply prompt engineering techniques to improve the quality and reliability of AI-assisted outputs.
- Review, validate, and govern AI-generated code and technical artifacts.
- Support development of intelligent data capabilities such as anomaly detection and automated quality monitoring.
- Maintain enterprise data models, metadata management processes, and data architecture standards.
- Implement data quality controls, lineage capabilities, and validation frameworks.
- Assist with data governance initiatives and partner with teams to improve the usability of data assets.
What you'll need#
- Currently pursuing a bachelor's degree in Data Science, Computer Science, Computer Engineering, or a related STEM field.
- Expected graduation date between December 2027 and June 2028.
- At least 6 months of work experience or equivalent demonstrated through training, military service, or education.
- Foundational knowledge of Python, SQL, data structures, algorithms, and object-oriented programming.
- Familiarity with software development lifecycle practices, including version control and CI/CD pipelines.
- Exposure to AI tools, AI-assisted engineering workflows, and prompt engineering concepts.
- Coursework or experience involving machine learning, artificial intelligence, statistical modeling, or advanced analytics.
- Understanding of cloud technologies, APIs, data services, and modern application architectures.
- Exposure to data engineering concepts like distributed computing and data modeling.
- Experience working with structured and unstructured data.
- Understanding of data governance, data quality, and metadata management principles.
- Familiarity with data visualization tools such as Tableau, Power BI, Grafana, or SAS.
- Strong problem-solving skills and the ability to work independently or in collaborative environments.
- Involvement in extracurricular activities such as student organizations, volunteerism, or leadership roles.
- Must take and pass a required technology skills assessment.
Location & details#
- Term: Summer 2027 (June 2027 - August 2027).
- Work Modality: Hybrid.
- Locations: Charlotte, NC; Irving, TX; Iselin, NJ.
- Employment Type: Full-time.
- Note: This position does not offer visa sponsorship.
About Wells Fargo
Wells Fargo is a financial services company based in San Francisco. It provides banking, investment, and mortgage products to customers in the United States and over 40 other countries. The firm manages approximately $1.9 trillion in assets. It serves individuals and businesses through a network of branches, ATMs, and digital platforms.
How to get in at Wells Fargo
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